Literature DB >> 14682555

The validity of questionnaire measures for assessing depression after stroke.

N B Lincoln1, C R Nicholl, T Flannaghan, M Leonard, E Van der Gucht.   

Abstract

OBJECTIVE: Depression has been reported to occur frequently after stroke. The aim of the study was to assess the validity of questionnaire measures for screening for depression after stroke.
DESIGN: Cross-sectional correlational study between questionnaire measures of mood and psychiatric interview.
SETTING: Hospital and community. PARTICIPANTS: Stroke patients were recruited from hospital wards and from a randomized controlled trial of cognitive behavioural therapy. MAIN MEASURES: Beck Depression Inventory, Wakefield Depression Inventory, General Health Questionnaire 28 and Schedules for Clinical Assessment in Neuropsychiatry.
RESULTS: Poor agreement was found between psychiatric diagnosis and questionnaire measures of mood. The sensitivity of the questionnaire measures was high, but specificity was low. No cut-off points with satisfactory sensitivity and specificity could be identified from ROC curves.
CONCLUSIONS: Although questionnaire assessments of depression provide a satisfactory screening method, specificity values are too low to provide a basis for the diagnosis of depression. Measures need to be developed with higher specificity to facilitate screening for depression after stroke.

Entities:  

Mesh:

Year:  2003        PMID: 14682555     DOI: 10.1191/0269215503cr687oa

Source DB:  PubMed          Journal:  Clin Rehabil        ISSN: 0269-2155            Impact factor:   3.477


  9 in total

Review 1.  Poststroke depression: a review.

Authors:  Robert G Robinson; Gianfranco Spalletta
Journal:  Can J Psychiatry       Date:  2010-06       Impact factor: 4.356

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5.  PREDICTORS OF EARLY-ONSET DEPRESSION AFTER FIRST-EVER STROKE.

Authors:  Tamara Rabi-Žikić; Željko Živanović; Vlado Đajić; Svetlana Simić; Svetlana Ružička-Kaloci; Sonja Slankamenac; Milorad Žikić
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7.  Prediction of Poststroke Depression Based on the Outcomes of Machine Learning Algorithms.

Authors:  Yeong Hwan Ryu; Seo Young Kim; Tae Uk Kim; Seong Jae Lee; Soo Jun Park; Ho-Youl Jung; Jung Keun Hyun
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8.  Intensive Communicative Therapy Reduces Symptoms of Depression in Chronic Nonfluent Aphasia.

Authors:  Bettina Mohr; Benjamin Stahl; Marcelo L Berthier; Friedemann Pulvermüller
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9.  Application of Bayes' Theorem in Valuating Depression Tests Performance.

Authors:  Marco Tommasi; Grazia Ferrara; Aristide Saggino
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  9 in total

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